Rainfall-runoff modelling of a basin
A conceptual or process-based model is built for each sub-catchment, calibrated on gauged flows and run with observed and forecast rainfall to give flow at the points where decisions are taken.
GCRI · Water Nexus
Hydrology is the core science of this platform: it turns rainfall, snow, soil, vegetation and geology into the river flows, groundwater levels and storage that every water decision depends on.
Hydrology studies the movement, distribution and quality of water across the land surface, subsurface and atmosphere. It underpins the assessment of floods, droughts and water supply, which affect food, energy, health and infrastructure together. In water, climate and hazards and 重要インフラ, hydrological estimates set design standards for dams, levees and drainage and inform water allocation between competing users. They link climate hazards to downstream effects on power generation, crops and public health. The canonical description is on STEM Commons.
A conceptual or process-based model is built for each sub-catchment, calibrated on gauged flows and run with observed and forecast rainfall to give flow at the points where decisions are taken.
Inflows, abstractions, evaporation, returns and storage change are reconciled by season and by user, so allocation decisions start from a closed account rather than competing estimates.
Annual maxima and peaks over threshold are fitted to give return-period flows for levee, culvert and reservoir design, with confidence bands that widen as the record shortens.
Flood water, rain and root-zone soil moisture over the Nile Basin, from NASA GIBS. Each layer carries its own date.
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レイヤー 3
このページの現在の水の状況
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最新の利用可能データ
NASA GIBS / EOSDIS · ASTER GDEM(METI、NASA)· Blue Marble(NASA)· © OpenStreetMap 貢献者(ODbL)· Natural Earth
最新のNASA画像を読み込んでいます。
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ナイル川流域を枠組みとした水の現在。NASA が公開するままの衛星およびモデルのプロダクトで、それぞれに固有の日付があります。指標であり、特定の場所の評価ではありません。
レイヤーと日付
Datasets and records used by hydrology and water science on this platform, with the role each plays and the label its values carry. Sources are listed in 出典の登録簿.
| データ | 役割 | ラベル |
|---|---|---|
| Stream gauge records | Calibration and validation of flow | 観測 |
| Gauge and radar rainfall | Model forcing | 観測 |
| Reservoir operation records | Storage and release terms of the balance | 公表統計 |
| Digital elevation model | Catchment delineation and routing | モデル化 |
| Land cover and soil maps | Runoff and infiltration parameters | 推定 |
Rain becomes runoff by the curve number method, drains each sub-catchment through a linear reservoir and travels down the main stem by Muskingum routing; play it to watch the flood wave move and flatten. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Nile Basin; the model itself is not tied to a place.
管理策
読み取り値
| Hour | Outlet (m³/s) | Unrouted (m³/s) | Upper reach (m³/s) |
|---|---|---|---|
| 2.4 | 0.0 | 678.9 | 0.0 |
| 12.0 | 308.3 | 1,151.4 | 181.8 |
| 21.6 | 452.4 | 35.1 | 73.7 |
| 31.2 | 363.3 | 1.1 | 11.1 |
| 40.8 | 198.8 | 0.0 | 1.5 |
| 50.4 | 79.3 | 0.0 | 0.2 |
| 60.0 | 25.4 | 0.0 | 0.0 |
| 69.6 | 6.9 | 0.0 | 0.0 |
| 79.2 | 1.7 | 0.0 | 0.0 |
| 88.8 | 0.4 | 0.0 | 0.0 |
| 98.4 | 0.1 | 0.0 | 0.0 |
| 108.0 | 0.0 | 0.0 | 0.0 |
| 117.6 | 0.0 | 0.0 | 0.0 |
| 127.2 | 0.0 | 0.0 | 0.0 |
| 136.8 | 0.0 | 0.0 | 0.0 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
6 本の柱を通じて、Nexus Consortium が主導
Models are calibrated on one period of observed flows and tested on an independent period or neighbouring catchment. Skill scores and comparison with surveyed flood extents are used to judge performance.
| 確認 | 実施方法 |
|---|---|
| Split-sample calibration | Fit on one period of flows, test on an independent period or a neighbouring catchment, report skill on the test period only |
| Mass balance closure | Every run reconciles inflow, outflow and storage change; an open balance is a finding, not a tolerance |
| Flood extent comparison | Modelled inundation is compared with surveyed or satellite extents of past events |
| Stationarity check | Trends in the record are tested before a 再現期間 is quoted from it |
Assumptions of stationarity weaken as climate and land use change. Ungauged basins, karst aquifers and rapid urbanisation are poorly represented by parameters fitted elsewhere.
Assembled from the Nexus Standards area profile 水リスクの標準: the hazards it names, the システム and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
ハザード
システムと連成
管理策
NS-0 憲章と原則NS-1 社会を動かし続ける UNI と成果物カタログ(文法 v0.2:分野、部門、地域、環境の区分)NS-3 リスク記録の UNI(文法、旧体系との対照、割当権限)NS-3b データセットとプロダクトのメタデータ・プロファイル(STAC、DCAT、PROV-O)NS-9 文脈 UNI(展開、インスタンス、プログラム・インスタンス)NS-10 方針と条項(機械可読な義務:定義、拘束、評価、執行)NS-11 検証とモニタリング(エビデンス、証明、ゼロトラストの適合性観測)NRS-U28 ユニバース platform profile: Water NexusNRS-H61 ハザード・ファミリー:連鎖的な機能不全(NHS-1 sys.cascade)NRS-K42 ドメイン・パックのプロファイル:越境流域(DOMAIN-042)NRS-N1 水リスクとレジリエンスNRS-N7 水・エネルギー・食料・保健・生物多様性・インフラのネクサス結合NRS-H62 ハザード・ファミリー:複合・マルチハザード事象(NHS-1 sys.compound)観測
例示の地理
The sectors hydrology for water risk touches and how strongly they depend on each other: what a study has to observe and model together.
署名
水とそのパートナー
水は食料に灌漑(0.8)を、エネルギーに冷却水と水力(0.6)を、生物多様性に環境流量(0.6)をもたらします。
W · E · I · F · H · B
Water Nexus stewards hydrology and water science for the Consortium and reviews how it is applied across platforms.
モデル、その仮定、データ、不確実性を、科学者やエンジニアが確認する形で示します。構造は公表された手法に従っています。描かれた値は例示であり、知見ではありません。
The couplings between the systems in hydrology for water risk: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
報告書 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
個人データ、重要インフラの機微な詳細、共有する権利のないものは決して送らないでください。寄稿は利用前にレビューされます。送付によって著作者としての権利や編集上の権利が生じることはなく、スポンサーシップで調査結果を買うことは決してできません。
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